Richèle D. Wind

23 total papers · 1.1k total citations
17 papers, 907 citations indexed

About

Richèle D. Wind is a scholar working on Molecular Biology, Biotechnology and Nutrition and Dietetics. According to data from OpenAlex, Richèle D. Wind has authored 17 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Biotechnology and 6 papers in Nutrition and Dietetics. Recurrent topics in Richèle D. Wind's work include Enzyme Production and Characterization (8 papers), Probiotics and Fermented Foods (4 papers) and Biofuel production and bioconversion (4 papers). Richèle D. Wind is often cited by papers focused on Enzyme Production and Characterization (8 papers), Probiotics and Fermented Foods (4 papers) and Biofuel production and bioconversion (4 papers). Richèle D. Wind collaborates with scholars based in Netherlands, Germany and Belgium. Richèle D. Wind's co-authors include R.M. Buitelaar, Lubbert Dijkhuizen, Frits A. de Wolf, Marc W. T. Werten, Hans Mooibroek, Jan Knol, Bauke W. Dijkstra, Joost C.M. Uitdehaag, Kaouther Ben Amor and Arjan J. van den Wijngaard and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and American Journal of Clinical Nutrition.

In The Last Decade

Richèle D. Wind

17 papers receiving 858 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Richèle D. Wind	505	382	336	184	142	17	907
Ravi Kiran Purama	379 0.8×	250 0.7×	338 1.0×	317 1.7×	143 1.0×	19	868
Gilles Joucla	436 0.9×	354 0.9×	404 1.2×	153 0.8×	164 1.2×	23	899
Daniel Guillén	275 0.5×	223 0.6×	138 0.4×	118 0.6×	178 1.3×	19	771
Li‐Jung Yin	415 0.8×	362 0.9×	152 0.5×	236 1.3×	171 1.2×	39	803
Philippe Talaga	349 0.7×	221 0.6×	240 0.7×	84 0.5×	331 2.3×	27	986
Ingeborg C. Boels	438 0.9×	159 0.4×	363 1.1×	492 2.7×	214 1.5×	13	908
Sahar F. Deraz	538 1.1×	147 0.4×	121 0.4×	255 1.4×	107 0.8×	21	938
Luiz B. Carvalho	412 0.8×	170 0.4×	141 0.4×	74 0.4×	61 0.4×	26	739
B. Pluvinage	620 1.2×	260 0.7×	188 0.6×	108 0.6×	85 0.6×	42	1.0k
Shannon B. Conners	653 1.3×	194 0.5×	157 0.5×	156 0.8×	138 1.0×	21	1.0k

Countries citing papers authored by Richèle D. Wind

Since Specialization

Citations

This map shows the geographic impact of Richèle D. Wind's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richèle D. Wind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richèle D. Wind more than expected).

Fields of papers citing papers by Richèle D. Wind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richèle D. Wind. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richèle D. Wind. The network helps show where Richèle D. Wind may publish in the future.

Co-authorship network of co-authors of Richèle D. Wind

This figure shows the co-authorship network connecting the top 25 collaborators of Richèle D. Wind. A scholar is included among the top collaborators of Richèle D. Wind based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richèle D. Wind. Richèle D. Wind is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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